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Using Predictive Analytics

Can Predictive Analytics combined with lean principles have an impact on today’s strained healthcare system? LeanTaaS believes that they can by significantly improving asset utilization at hospitals and clinics across the country. “The reality is that health systems are facing enormous headwinds regarding growing volumes,” says company founder and CEO Mohan Giridharadas. There is a […]

Building an Effective Data Science Team

Dr. Cindi Thompson considers Data Scientists to be raccoons: “Raccoons are both smart and dangerous, and that’s kind of the way we think about Data Scientists.” Speaking at the DATAVERSITY® Enterprise Analytics Online 2017 Conference, in her presentation titled “How to Get the Most Value from Data Science Teams” Thompson said, “Raccoons have that desire […]

Case Study: Data Virtualization Seasons the Machine Learning and Blockchain Landscape for McCormick

Food flavoring giant McCormick is spicing things by adopting Data Virtualization for a number of its key projects including the deployment of Machine Learning techniques and a Blockchain collaboration program with a prominent retailer as part of a plan to better control food quality. In a recent DATAVERSITY® interview with Terry Moon, an Information Architect […]

Advanced Analytics: Exploration of Some Transformative Future Trends

The wide availability of streaming devices, monumental volumes of data, cheap storage platforms, and hosted Analytics Infrastructure have jointly contributed to the rapid adoption of Advanced Analytics by businesses of all shapes and sizes. Any reasonably well-informed business can now take advantage of outsourced Analytics Platforms and extract the maximum value from their data. This […]

A Hybrid Approach to Leverage Intelligent Analytics

“The need to merge real-time analytical processing with on-the-spot transactional decision-making is a problem common to all industries,” noted Monte Zweben, Splice Machine’s cofounder and CEO in a recent DATAVERSITY® interview. Intelligent predictive applications are trained to learn and to adapt, rather than simply being programmed with a limited series of responses. Predictive applications can […]